Summary of Optimal Symmetries in Binary Classification, by Vishal S. Ngairangbam et al.
Optimal Symmetries in Binary Classificationby Vishal S. Ngairangbam, Michael SpannowskyFirst submitted to arxiv on: 16…
Summary of Shapley Marginal Surplus For Strong Models, by Daniel De Marchi et al.
Shapley Marginal Surplus for Strong Modelsby Daniel de Marchi, Michael Kosorok, Scott de MarchiFirst submitted…
Summary of Misclassification Excess Risk Bounds For Pac-bayesian Classification Via Convexified Loss, by the Tien Mai
Misclassification excess risk bounds for PAC-Bayesian classification via convexified lossby Tien MaiFirst submitted to arxiv…
Summary of Pitn: Physics-informed Temporal Networks For Cuffless Blood Pressure Estimation, by Rui Wang et al.
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimationby Rui Wang, Mengshi Qi, Yingxia Shao,…
Summary of The Limitations Of Model Retraining in the Face Of Performativity, by Anmol Kabra et al.
The Limitations of Model Retraining in the Face of Performativityby Anmol Kabra, Kumar Kshitij PatelFirst…
Summary of Inverse Design with Conditional Cascaded Diffusion Models, by Milad Habibi et al.
Inverse design with conditional cascaded diffusion modelsby Milad Habibi, Mark FugeFirst submitted to arxiv on:…
Summary of A Training Regime to Learn Unified Representations From Complementary Breast Imaging Modalities, by Umang Sharma et al.
A training regime to learn unified representations from complementary breast imaging modalitiesby Umang Sharma, Jungkyu…
Summary of Radiodiff: An Effective Generative Diffusion Model For Sampling-free Dynamic Radio Map Construction, by Xiucheng Wang and Keda Tao and Nan Cheng and Zhisheng Yin and Zan Li and Yuan Zhang and Xuemin Shen
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Constructionby Xiucheng Wang, Keda…
Summary of A Survey on Secure Decentralized Optimization and Learning, by Changxin Liu et al.
A survey on secure decentralized optimization and learningby Changxin Liu, Nicola Bastianello, Wei Huo, Yang…
Summary of Navigating Uncertainties in Machine Learning For Structural Dynamics: a Comprehensive Review Of Probabilistic and Non-probabilistic Approaches in Forward and Inverse Problems, by Wang-ji Yan (1 and 2) et al.
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic…